1.Carney complex: A rare case of left atrial myxoma unveiling a multisystem involvement.
Arlene Melissa T. DYCHICHING ; Lourdes Ella G. SANTOS ; Mary ONG-GO ; Lennie V. CASTILLO ; John Andrew M. YAM ; Charles Andrew T. FRANCIA
Philippine Journal of Cardiology 2026;54(S1):18-23
BACKGROUND
Carney complex (CNC) is a rare multiple endocrine neoplasia syndrome caused by PRKAR1A gene mutation and characterized by lentigines, myxomatous tumors and various endocrine neoplasms.
CASE PRESENTATIONThis is a case of a 52-year-old male patient who underwent echocardiogram for intermittent palpitations and near-syncopal attack, which revealed a left atrial myxoma. The patient also exhibited multiple lentigines and had a history of histologicallyconfirmed papillary thyroid carcinoma. Surgical excision and subsequent histopathologic examination confirmed cardiac myxoma, fulfilling three major Stratakis criteria for CNC.
DISCUSSIONThis case highlights the importance of a thorough history and physical examination with a strong understanding of the syndrome’s features being key to recognizing the disease. Increasing awareness and reinforcing knowledge of CNC are crucial for preventing misdiagnosis and ensuring effective management of this rare condition. To our knowledge, this is the first published case report of CNC in the Philippines, emphasizing the need for heightened regional awareness.
CONCLUSIONCNC may present with subtle or nonspecific symptoms and atypical tumor locations. Early recognition through a high index of suspicion, targeted imaging and a multidisciplinary approach is critical to optimize outcomes and guide family screening in this rare syndrome.
Human ; Male ; Middle Aged: 45-64 Yrs Old ; Multiple Endocrine Neoplasia ; Carney Complex ; Myxoma ; Syndrome ; Neoplasms ; Mutation ; Lentigo ; Genes
2.Comparison of colon adenoma detection rate using cap-assisted and artificial intelligence-assisted colonoscopy at a tertiary hospital in the Philippines: a propensity score-matched analysis
Justin Ryan Lay TAN ; Keith Brian Tan ENRIQUEZ ; Kenneth Vergel Tecson ABALLE ; Mary Anne Gonzales GO ; Michael Louie Ong LIM ; Jonard Tan CO
Clinical Endoscopy 2026;59(1):106-114
Background/Aims:
The integration of artificial intelligence (AI)-powered image analysis and mucosal exposure devices, such as distal attachment caps, has been demonstrated to significantly improve the adenoma detection rate (ADR) during colonoscopy. This study aimed to compare AI-assisted colonoscopy (AIC) with cap-assisted colonoscopy (CAC).
Methods:
This retrospective propensity score-matched cohort study was performed at a tertiary care hospital between January 2022 and May 2022. Data were extracted from the electronic health record system and colonoscopy video recordings. Adult patients aged 40 years who underwent screening or surveillance colonoscopies were included. The primary outcome was the ADR, whereas the secondary outcome was the polyp detection rate (PDR).
Results:
A 1:1 propensity score-matched analysis was performed, resulting in 49 well-matched patient pairs. One patient from each pair was assigned to the CAC group, whereas the other was assigned to the AIC group. No significant difference in ADR was observed between the CAC and AIC groups (47% vs. 51%, p=0.69). Similarly, PDR did not significantly differ between the two groups (80% vs. 71%, p=0.35).
Conclusions
Both CAC and AIC have the potential to increase ADR and PDR. However, neither modality offers a significant advantage.


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